Triple

T5913107
Position Surface form Disambiguated ID Type / Status
Subject Lavinia Chamberlayne E131511 entity
Predicate hasRelationshipProblem P47731 FINISHED
Object troubled marriage to Edward Chamberlayne LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: troubled marriage to Edward Chamberlayne | Statement: [Lavinia Chamberlayne, hasRelationshipProblem, troubled marriage to Edward Chamberlayne]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRelationshipProblem
Context triple: [Lavinia Chamberlayne, hasRelationshipProblem, troubled marriage to Edward Chamberlayne]
  • A. hasComplicatedRelationshipWith chosen
    Indicates that one entity is involved in a complex, often ambiguous or difficult-to-define interpersonal or relational dynamic with another entity.
  • B. hasFamilialTieTo
    Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
  • C. inRelationshipWith
    Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
  • D. hasMaritalRelationshipType
    Indicates the specific type or nature of the marital relationship that exists between two entities.
  • E. relationshipManaged
    Indicates that one entity oversees, directs, or maintains responsibility for the ongoing management of a relationship involving another entity.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c048fc112c8190b905bf561c9de096 completed March 22, 2026, 7:54 p.m.
PD Predicate disambiguation batch_69c03352208c8190968efed05a9fd416 completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 3:59 p.m.